Machine Learning Engineer
1 month ago
Job Title: Machine Learning Engineer
Location: Boston
Job Type: Full-Time, Permanent ,Fully Remote
Responsibilities:
- Develop machine learning and deep learning models for financial data as well as other modalities such as images and text.
- Innovate new research methodologies to solve advanced, cutting-edge problems, with potential for publishable outcomes.
- Perform detailed analysis of machine learning models and explore novel research techniques to tackle emerging challenges in the field.
- Work collaboratively with cross-functional teams to ensure seamless integration of ML models into production systems.
- Design and implement robust, scalable pipelines and systems adhering to software engineering best practices.
- Handle end-to-end solutions, including system architecture, business logic, and deployment.
- Advocate for and implement rigorous testing practices, ensuring high-quality, reliable ML model rollouts.
- Continuously stay informed on the latest developments in machine learning and related technologies to enhance existing solutions.
Requirements:
- Master’s or Bachelor’s degree in Computer Science, Engineering, or a related field, with at least 4 years of industry experience in machine learning or a closely related area.
- Strong understanding of computer science fundamentals, with a solid foundation in machine learning principles.
- Expertise in deep learning, linear algebra, probability, data structures, and algorithms.
- Proficiency in Python for data manipulation and model development.
- Experience with PostgreSQL for database management and Flask for web application development.
- Deep understanding of object-oriented programming principles and software design patterns.
- Hands-on experience with RESTful APIs and microservices architecture.
- Proficiency in popular Python libraries for machine learning, including but not limited to numpy, scipy, pandas, PyTorch, and scikit-learn.
- This role is ideal for a highly motivated individual with a strong research background, a passion for machine learning, and the drive to work on challenging problems that push the boundaries of technology
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